> Markdown version of [/jobs/ext/4505300-business-analytics-developer-ai-integrator](https://www.wearedevelopers.com/jobs/ext/4505300-business-analytics-developer-ai-integrator). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Analytics Developer & AI Integrator

- **Company:** BBB Industries LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Application Integration Architecture, Build Automation, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Tensorflow, SQL Databases, Tableau (Software), Google Cloud, Application Enhancement Tool, Cloud Platform System, Microsoft Power Automate, Large Language Models, Uipath, Information Technology, Qlikview, Low-code, Virtual Agents, Data Pipelines, Automation Anywhere
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/business-analytics-developer-ai-integrator-dallas-tx--70ea16d5-ec70-48ed-929a-4e0fed83b5d8

## About the Role

Business Analysis, Artificial Intelligence (AI), Business Analysis, Business Skills, Business Processes, Business Strategy, Artificial Intelligence (AI), Strategic Analysis, Operations Planning, Leadership, * Bachelor's or master's degree in data science, Computer Science, Information Systems, Engineering, or a related field.

 * 7+ years in analytics development, data engineering, or AI/ML solution delivery, with a track record of leading enterprise-level initiatives with measurable impact.
 * Proficiency in analytics and BI platforms (Power BI, Tableau, Qlik, etc.).
 * Strong experience with SQL, Python, R, or similar languages.
 * Hands-on experience with cloud ecosystems (Azure, AWS, GCP) and modern data architectures.

Nice-to-haves

 * Familiarity with machine learning frameworks, LLMs, and AI integration patterns.
 * Experience with automation tools (Power Automate, UiPath, Automation Anywhere).
 * Experience in manufacturing, distribution, or industrial environments.
 * Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders.

## Description

As the Business Analytics Developer & AI Integrator, you'll design, develop, and operationalize advanced analytics and AI-enabled solutions across the enterprise. Blending deep technical skill with business acumen, you'll accelerate data-driven decision-making, automate complex workflows, and embed artificial intelligence into core business processes. It's a role for a hands-on technologist who can translate business strategy into scalable analytical capabilities that deliver measurable impact.

What you''ll do

 * Strategy & innovation - Support TERREPOWER's analytics and AI strategy, identify high-value opportunities for analytics, automation, and AI, and advise leadership on emerging technologies and trends.
 * Analytics development & data engineering - Architect dashboards, predictive models, and automated reporting; build and maintain scalable data pipelines and integrations across enterprise systems and cloud platforms; and embed data quality, governance, and security into every workflow.
 * AI integration & automation - Design and deploy AI-driven solutions - machine learning models, NLP tools, intelligent agents, and decision-support systems - and build automation frameworks using RPA, low-code platforms, and custom AI-powered tools.
 * Cross-functional collaboration - Partner with business units to define requirements and deliver tailored solutions, work with IT, data governance, and cybersecurity teams on deployment and lifecycle management, and run enablement programs that elevate data literacy and AI adoption.
 * Performance measurement & optimization - Establish KPIs and success metrics for analytics and AI initiatives, and continuously optimize models, dashboards, and workflows for accuracy, performance, and user experience.